2,795 research outputs found

    Supervised local descriptor learning for human action recognition

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    Local features have been widely used in computer vision tasks, e.g., human action recognition, but it tends to be an extremely challenging task to deal with large-scale local features of high dimensionality with redundant information. In this paper, we propose a novel fully supervised local descriptor learning algorithm called discriminative embedding method based on the image-to-class distance (I2CDDE) to learn compact but highly discriminative local feature descriptors for more accurate and efficient action recognition. By leveraging the advantages of the I2C distance, the proposed I2CDDE incorporates class labels to enable fully supervised learning of local feature descriptors, which achieves highly discriminative but compact local descriptors. The objective of our I2CDDE is to minimize the I2C distances from samples to their corresponding classes while maximizing the I2C distances to the other classes in the low-dimensional space. To further improve the performance, we propose incorporating a manifold regularization based on the graph Laplacian into the objective function, which can enhance the smoothness of the embedding by extracting the local intrinsic geometrical structure. The proposed I2CDDE for the first time achieves fully supervised learning of local feature descriptors. It significantly improves the performance of I2C-based methods by increasing the discriminative ability of local features while greatly reducing the computational burden by dimensionality reduction to handle large-scale data. We apply the proposed I2CDDE algorithm to human action recognition on four widely used benchmark datasets. The results have shown that I2CDDE can significantly improve I2C-based classifiers and achieves state-of-the-art performance

    (4RS)-Methyl 4-cyano-4-cyclo­hexyl-4-phenyl­butano­ate

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    In the crystal structure of the title compound, C18H23NO2, there are only van der Waals inter­actions present. The cyclo­hexyl ring has a chair conformation. The longer axes of the displacement parameters of the non-H atoms forming the ethyl­methyl­carboxyl­ate skeleton are perpendicular to the plane through the non-H atoms of this skeleton

    Prediction of Ebolavirus Genomes Encoded MicroRNA-Like Small RNAs Using Bioinformatics Approaches

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    Recent findings revealed that certain viruses encoded microRNA-like small RNAs using the RNA interference machinery in the host cells. However, the function of these virus-encoded microRNA-like small RNAs remained unclear, and whether these microRNA-like small RNAs were involved in the replication of the virus and viral infection was still disputable. In this chapter, the negative-sense RNA genome of Ebola virus (EBOV) was scanned using bioinformatics tools to predict the EBOV-encoded microRNA-like small RNAs. Then, the potential influence of viral microRNA-like small RNAs on the viral immune evasion, host cellular signaling pathway, and epigenetic regulation of antiviral defense mechanism were also detected by the reconstructed regulatory network of target genes associated with viral encoded microRNA-like small RNAs. In this analysis, EBOV-encoded microRNA-like small RNAs were proposed to inhibit the host immune response factors, probably facilitating the evasion of EBOV from the host defense mechanisms. In conclusion, systematic investigation of microRNA-like small RNAs in EBOV genome may shed light on the underlying molecular mechanisms of the pathological process of Ebola virus disease (EVD)

    An Emotional Skills Intervention for Elementary Children with Autism in China: A Pilot Study

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    The purpose of this pilot study was to examine the effects of an emotional skills intervention on behavioral and emotional competence, as well as on communication for children with autism in China. Eight children (seven boys and one girl), aged 7 to 8, participated in this study. We used a pre and posttest group design. The intervention consisted of 10 group sessions and four individual sessions. Each group session had two or three children. The intervention curriculum consisted of emotion recognition, emotion recognition within context, self-expression of emotions, seeking help when encountering problems, and techniques for emotion regulation. Results indicated that the intervention significantly improved children’s emotional skills, behavioral and emotional competence, and communication. The potential implications of this study for elementary children with autism in China are also discussed

    Separation and economic recovery of strontium from Nanyishan oil-field water, China

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    The mass ratio of Ca to Sr is greater than 10 in Nanyishan oil-field water, which causes significant problems during the economic extraction and recovery of selected trace elements in the oil-field water. The oilfield water was isothermally evaporated and various salts such as Li, K, Mg, Ca, Na, Sr, Rb, Cs, Br, and I were obtained from the solution. The Sr content of each phase was determined by ICP-AES, the Sr distribution rule in this process was obtained, and the best separation stage for Sr was identified, to optimize the separation of Sr from Nanyishan oil-field water

    Tetra­kis(μ-3,4-dimethoxy­phenyl­acetato)bis­[(3,4-dimethoxy­phenyl­acetato)(1,10-phenanthroline)dysprosium(III)]

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    The title centrosymmetric dinuclear dysprosium(III) complex, [Dy2(C10H11O4)6(C12H8N2)2] or [Dy(L)3phen]2, is comprised of six 3,4-dimethoxy­phenylacetate (L) anions, two 1,10-phenanthroline (phen) mol­ecules and two DyIII ions. The DyIII atom is nine-coordinated by seven O atoms from five L ligands and two N atoms from the phen mol­ecules. The L ligands are coordinated to the DyIII ion in three coordination modes: chelating, bridging and bridging-tridentate. C—H⋯O hydrogen bonding interactions consolidate the crystal packing
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